Question 1

How to process S3 files in parallel with Node.js?

Accepted Answer

s3-lambda enables parallel processing using methods like .each() or .map() with configurable concurrency levels. Set .concurrency() to control how many files are handled simultaneously, improving speed for batch jobs.

Question 2

s3-lambda or AWS Lambda for batch S3 processing?

Accepted Answer

s3-lambda is ideal for prototyping and fine-grained control in Node.js locally, while AWS Lambda offers serverless, event-triggered scaling. Use s3-lambda for quick iterations and AWS Lambda for automated, large-scale production pipelines.

Question 3

How to filter S3 objects with s3-lambda without deleting them?

Accepted Answer

Use the .filter() function combined with .output() to copy filtered files to a new S3 location, avoiding destructive deletions. Specify target bucket and prefix, and optionally a key renaming function.

Question 4

Can s3-lambda handle large CSV or JSON files efficiently?

Accepted Answer

It processes files by streaming or applying transformers, but concurrent operations on many large files might strain local memory. Use .transform() for custom parsing and limit concurrency to manage resource usage.

Question 5

Is s3-lambda good for ETL pipelines on S3?

Accepted Answer

Yes, for moderate-scale prototyping and simple transformations, thanks to its map, reduce, and filter functions. However, for complex, production ETL, consider its lack of built-in error handling and monitoring compared to dedicated tools.

Question 6

How to rename S3 files using s3-lambda?

Accepted Answer

Use .map() with .output() to copy files to new keys, providing a function in .output() to modify key names. This allows non-destructive renaming by specifying the output bucket and prefix.

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